TY - JOUR
T1 - The role of time-varying viral shedding in modelling environmental surveillance for public health
T2 - Revisiting the 2013 poliovirus outbreak in Israel
AU - Brouwer, Andrew F.
AU - Eisenberg, Marisa C.
AU - Shulman, Lester M.
AU - Famulare, Michael
AU - Koopman, James S.
AU - Kroiss, Steve J.
AU - Hindiyeh, Musa
AU - Manor, Yossi
AU - Grotto, Itamar
AU - Eisenberg, Joseph N.S.
N1 - Publisher Copyright:
© 2022 Royal Society Publishing. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Environmental pathogen surveillance is a sensitive tool that can detect earlystage outbreaks, and it is being used to track poliovirus and other pathogens. However, interpretation of longitudinal environmental surveillance signals is difficult because the relationship between infection incidence and viral load in wastewater depends on time-varying shedding intensity. We developed a mathematical model of time-varying poliovirus shedding intensity consistent with expert opinion across a range of immunization states. Incorporating this shedding model into an infectious disease transmission model, we analysed quantitative, polymerase chain reaction data from seven sites during the 2013 Israeli poliovirus outbreak. Compared to a constant shedding model, our time-varying shedding model estimated a slower peak (four weeks later), with more of the population reached by a vaccination campaign before infection and a lower cumulative incidence. We also estimated the population shed virus for an average of 29 days (95% CI 28- 31), longer than expert opinion had suggested for a population that was purported to have received three or more inactivated polio vaccine (IPV) doses. One explanation is that IPV may not substantially affect shedding duration. Using realistic models of time-varying shedding coupled with longitudinal environmental surveillance may improve our understanding of outbreak dynamics of poliovirus, SARS-CoV-2, or other pathogens.
AB - Environmental pathogen surveillance is a sensitive tool that can detect earlystage outbreaks, and it is being used to track poliovirus and other pathogens. However, interpretation of longitudinal environmental surveillance signals is difficult because the relationship between infection incidence and viral load in wastewater depends on time-varying shedding intensity. We developed a mathematical model of time-varying poliovirus shedding intensity consistent with expert opinion across a range of immunization states. Incorporating this shedding model into an infectious disease transmission model, we analysed quantitative, polymerase chain reaction data from seven sites during the 2013 Israeli poliovirus outbreak. Compared to a constant shedding model, our time-varying shedding model estimated a slower peak (four weeks later), with more of the population reached by a vaccination campaign before infection and a lower cumulative incidence. We also estimated the population shed virus for an average of 29 days (95% CI 28- 31), longer than expert opinion had suggested for a population that was purported to have received three or more inactivated polio vaccine (IPV) doses. One explanation is that IPV may not substantially affect shedding duration. Using realistic models of time-varying shedding coupled with longitudinal environmental surveillance may improve our understanding of outbreak dynamics of poliovirus, SARS-CoV-2, or other pathogens.
KW - environmental surveillance
KW - infectious disease model
KW - poliovirus
KW - viral shedding
KW - wastewater surveillance
UR - http://www.scopus.com/inward/record.url?scp=85130146995&partnerID=8YFLogxK
U2 - 10.1098/rsif.2022.0006
DO - 10.1098/rsif.2022.0006
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C2 - 35582812
AN - SCOPUS:85130146995
SN - 1742-5689
VL - 19
JO - Journal of the Royal Society Interface
JF - Journal of the Royal Society Interface
IS - 190
M1 - 20220006
ER -